Junior DevOps Engineer
@ Boeing Intelligence and Analytics

Howard County, Maryland, United States
$110,000
On Site
Full Time
Posted 24 days ago

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Job Details

About the Role

The Junior DevOps Engineer at Boeing Intelligence and Analytics supports engineering platforms and microservices, while modernizing data usage for multiple DoD customers.

Key Responsibilities

  • Develop infrastructure and automate tasks using Python, Ansible, and Terraform.
  • Patch, harden, and maintain compliance of RHEL systems.
  • Install and support Kubernetes, Docker, Nifi, and cloud metrics collection tools.
  • Manage CI/CD pipelines with GitLab for building, testing, and deployment.
  • Administer commercial cloud computing platforms (AWS).
  • Collaborate effectively with team members and stakeholders.

About Boeing Intelligence and Analytics

BI&A is a fully owned subsidiary of The Boeing Company offering a small company feel with large corporation benefits. The team works on critical intelligence, analytics, and cyber solutions supporting global missions and national security, with contract opportunities primarily in Maryland, Virginia, and the District of Columbia.

Experience and Qualifications

  • 6 years of experience in Software or Systems Engineering (or substitution options with degrees).
  • Active TS/SCI clearance with Polygraph.
  • Knowledge of PaaS and experience in managing Linux systems.
  • Security+ certification or other 8570 compliant certification.
  • Agile development experience and familiarity with Jira and Confluence are desired.

Key Skills/Competency

  • DevOps
  • Cloud
  • Linux
  • Automation
  • CI/CD
  • Kubernetes
  • Docker
  • Python
  • Terraform
  • Agile
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How to Get Hired at Boeing Intelligence and Analytics

🎯 Tips for Getting Hired

  • Review Boeing's job posting: Tailor your resume emphasizing DevOps skills.
  • Highlight your TS/SCI clearance: Clearly mention security credentials.
  • Showcase Linux and cloud expertise: Include relevant project examples.
  • Research Boeing culture: Understand their mission and innovation.

📝 Interview Preparation Advice

Technical Preparation

Practice Python scripting and automation tasks.
Review Linux system configuration fundamentals.
Study container management on Kubernetes and Docker.
Familiarize with AWS cloud service basics.

Behavioral Questions

Describe your teamwork on complex projects.
Explain challenge resolution in a high-stress environment.
Share experience adapting to rapid change.
Discuss collaboration with cross-functional teams.

Frequently Asked Questions